Greenhouse ·
full-timeProduct Finance & Strategy, Monetization
Anthropic · San Francisco, CA
Anthropic is an AI research and development company focused on creating safe, interpretable, and steerable artificial intelligence systems. This internship role in Product Finance & Strategy focuses on the intersection of model economics and business growth. The successful candidate will work across two primary domains: model monetization and enterprise strategy. Daily responsibilities include building and maintaining complex financial models that link token economics, compute costs, and gross margins to pricing and packaging decisions. You will act as a strategic partner to product teams, developing business cases for enterprise offerings and evaluating investment opportunities for new product roadmaps. The role requires translating technical and financial data into clear, actionable recommendations for leadership. This position is well-suited for a candidate who possesses strong analytical skills, enjoys navigating ambiguous business problems, and maintains a deep interest in the evolving AI landscape. You will need to demonstrate the ability to drive projects independently, from initial analysis to final decision-making, while collaborating with cross-functional teams including product, go-to-market, and compute stakeholders.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Finance & Strategy team member to work across two areas: Model Monetization and Enterprise & Verticals. In Model Monetization, you will own the economics behind how we price and package our models, including list pricing, tiering, and consumption mechanics across model families. In Enterprise & Verticals, you will be the Finance & Strategy partner to the product teams, working on the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Every model launch and most major enterprise product decisions run through this work. The role carries a high degree of ownership and autonomy. It suits someone who likes building models and working through ambiguous questions. You will connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and apply the same approach to enterprise and vertical product investments. You will be expected to form a view, defend it with analysis, and drive it to a decision. You should follow AI closely and have a perspective on where the field is heading. If you want to work on the economics of frontier AI, join us in making AI safe and beneficial. Key responsibilities Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics Minimum qualifications Advanced modeling: you can build and maintain a complex operating model from scratch, and you enjoy doing it A record of owning a workstream and driving it independently from question to decision The judgment to form an opinion and defend it, and the openness to update it as the analysis changes You follow AI closely and have a view on where it is going Ability to explain complex financial information clearly to non-finance audiences Commitment to Anthropic's mission to build safe, transformative AI systems Preferred qualifications 7+ years in strategic finance, product finance, pricing, investment banking, private equity, growth equity, or management consulting Operating experience inside a company, not solely in an advisory or investing seat Direct experience owning pricing, packaging, or monetization strategy, for example setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization Experience with usage-based, API, or developer platform pricing, or other consumption-based business models Knowledge of and interest in cloud computing infrastructure and compute economics Proficiency in SQL The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experie
| Role | Product Finance & Strategy, Monetization |
|---|---|
| Company | Anthropic |
| Location | San Francisco, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Product Finance & Strategy, Monetization at Anthropic: frequently asked questions
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Product Finance & Strategy, Monetization position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Product Finance & Strategy, Monetization role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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